E-ISSN 0976-2833 | ISSN 0975-3583
 

Original Research 


Haematological Indices And Clinical Factors Predicting The Coronary Slow Flow Phenomenon In Coronary Angiography

Bhupinder Singh, Ankita Soni, Abhishek Goyal, Gurbhej Singh, Shibba Takkar Chhabra, Rohit Tandon, Naved Aslam, Bishav Mohan, Gurpreet Singh Wander.

Abstract
Background: Coronary slow-flow phenomenon (CSFP) is an enigmatic entity. Its multifactorial pathophysiology is less well understood.
Objective: To evaluate clinical and haematological parameters predicting the CSFP.
Methods: We accessed the hospital records of the patients undergoing coronary angiography from May 2019-December 2019. The patients with CSFP were compared with the patients having normal epicardial coronary arteries (NECA).
Results: The prevalence of CSFP was 2.9% in this study. CSFP patients had male dominance (72.3%). Body mass index (BMI), and haematological parameters such as haemoglobin, neutrophil-lymphocyte ratio, haematocrit, platelet count, mean platelet volume, and plateletcrit (PCT) were significantly higher in CSFP group compared to NECA group. On multivariate logistic regression analysis, high PCT [odds ratio:15.8; 95% CI(3.5-70.1), p<0.001], high BMI [odds ratio:1.6; 95% CI(1.2-2.1), p=0.001] and male gender [odds ratio:5.9; 95% CI(1.3-26.8), p<0.023] were found to be the independent predictors of CSFP. PCT showed strong positive correlation (r= 0.8, p <0.001) with the mean TIMI (thrombolysis in myocardial infarction) frame count. Receiver operating curve analysis revealed a cut-off point of 0.24 for PCT with a sensitivity of 94.0% and a specificity of 91.0% (p <0.001, AUC= 0.959) and a cut-off value of 28.9 Kg/m2 for BMI had a 73.0% sensitivity and 78.0% specificity for predicting the CSFP (p <0.001, AUC= 0.816).
Conclusion: Of all haematological indices, only PCT was strongly correlating and was found to be the robust predictor of CSFP. Future studies evaluating its role in CSF pathophysiology are warranted.

Key words: Coronary angiography, haematology, coronary slow flow.


 
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How to Cite this Article
Pubmed Style

Singh B, Soni A, Goyal A, Singh G, Chhabra ST, Tandon R, Aslam N, Mohan B, Wander GS. Haematological Indices And Clinical Factors Predicting The Coronary Slow Flow Phenomenon In Coronary Angiography. . 2021; 12(1): 117-124. doi:10.31838/jcdr.2021.12.01.22


Web Style

Singh B, Soni A, Goyal A, Singh G, Chhabra ST, Tandon R, Aslam N, Mohan B, Wander GS. Haematological Indices And Clinical Factors Predicting The Coronary Slow Flow Phenomenon In Coronary Angiography. http://www.jcdronline.org//?mno=50403 [Access: May 01, 2021]. doi:10.31838/jcdr.2021.12.01.22


AMA (American Medical Association) Style

Singh B, Soni A, Goyal A, Singh G, Chhabra ST, Tandon R, Aslam N, Mohan B, Wander GS. Haematological Indices And Clinical Factors Predicting The Coronary Slow Flow Phenomenon In Coronary Angiography. . 2021; 12(1): 117-124. doi:10.31838/jcdr.2021.12.01.22



Vancouver/ICMJE Style

Singh B, Soni A, Goyal A, Singh G, Chhabra ST, Tandon R, Aslam N, Mohan B, Wander GS. Haematological Indices And Clinical Factors Predicting The Coronary Slow Flow Phenomenon In Coronary Angiography. . (2021), [cited May 01, 2021]; 12(1): 117-124. doi:10.31838/jcdr.2021.12.01.22



Harvard Style

Singh, B., Soni, . A., Goyal, . A., Singh, . G., Chhabra, . S. T., Tandon, . R., Aslam, . N., Mohan, . B. & Wander, . G. S. (2021) Haematological Indices And Clinical Factors Predicting The Coronary Slow Flow Phenomenon In Coronary Angiography. , 12 (1), 117-124. doi:10.31838/jcdr.2021.12.01.22



Turabian Style

Singh, Bhupinder, Ankita Soni, Abhishek Goyal, Gurbhej Singh, Shibba Takkar Chhabra, Rohit Tandon, Naved Aslam, Bishav Mohan, and Gurpreet Singh Wander. 2021. Haematological Indices And Clinical Factors Predicting The Coronary Slow Flow Phenomenon In Coronary Angiography. Journal of Cardiovascular Disease Research, 12 (1), 117-124. doi:10.31838/jcdr.2021.12.01.22



Chicago Style

Singh, Bhupinder, Ankita Soni, Abhishek Goyal, Gurbhej Singh, Shibba Takkar Chhabra, Rohit Tandon, Naved Aslam, Bishav Mohan, and Gurpreet Singh Wander. "Haematological Indices And Clinical Factors Predicting The Coronary Slow Flow Phenomenon In Coronary Angiography." Journal of Cardiovascular Disease Research 12 (2021), 117-124. doi:10.31838/jcdr.2021.12.01.22



MLA (The Modern Language Association) Style

Singh, Bhupinder, Ankita Soni, Abhishek Goyal, Gurbhej Singh, Shibba Takkar Chhabra, Rohit Tandon, Naved Aslam, Bishav Mohan, and Gurpreet Singh Wander. "Haematological Indices And Clinical Factors Predicting The Coronary Slow Flow Phenomenon In Coronary Angiography." Journal of Cardiovascular Disease Research 12.1 (2021), 117-124. Print. doi:10.31838/jcdr.2021.12.01.22



APA (American Psychological Association) Style

Singh, B., Soni, . A., Goyal, . A., Singh, . G., Chhabra, . S. T., Tandon, . R., Aslam, . N., Mohan, . B. & Wander, . G. S. (2021) Haematological Indices And Clinical Factors Predicting The Coronary Slow Flow Phenomenon In Coronary Angiography. Journal of Cardiovascular Disease Research, 12 (1), 117-124. doi:10.31838/jcdr.2021.12.01.22